In [1]:
from __future__ import print_function
In [2]:
import librosa
import librosa.display
import IPython.display
import numpy as np
In [3]:
import matplotlib.pyplot as plt
import matplotlib.style as ms
ms.use('seaborn-muted')
%matplotlib inline
In [10]:
# Load the example track
#y, sr = librosa.load(librosa.util.example_audio_file())

audio_path = 'C:\Users\MichaelTelahun\Telahun\\1991__YouMayFindYourself.mp3'

y, sr = librosa.load(audio_path)
In [11]:
# Play Back
IPython.display.Audio(data=y, rate=sr)
Out[11]:
In [12]:
#Seperate ing harmonic and percussive components
y_h, y_p = librosa.effects.hpss(y)
In [14]:
#Harmonic component
IPython.display.Audio(data=y_h, rate=sr)
Out[14]:
In [15]:
#Percussive component
IPython.display.Audio(data=y_p,rate=sr)
Out[15]: